Computationally efficient microwave imaging of human breast model using group theory

Breast cancer detection depends on accuracy of complex permittivity profile reconstruction in breasts. In microwave imaging of breasts, large size matrix is inverted to reconstruct complex permittivity profile of breast models. In this paper, computation time of matrix inversion is reduced by exploiting symmetry present in breast models. Group theory is a powerful tool to exploit symmetry which also provides better results in the presence of noise.